AIMC Topic: Machine Learning
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A radiomics-clinical predictive model for difficult laparoscopic cholecystectomy based on preoperative CT imaging: a retrospective single center study.
World journal of emergency surgery : WJES
Jul 14, 2025
BACKGROUND: Accurately identifying difficult laparoscopic cholecystectomy (DLC) preoperatively remains a clinical challenge. Previous studies utilizing clinical variables or morphological imaging markers have demonstrated suboptimal predictive perfor...
Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability.
BMC medical informatics and decision making
Jul 14, 2025
OBJECTIVES: Timely intervention in shock is vital, as delays over one hour greatly increase mortality. This study aims to develop an enhanced machine learning model that improves predictive performance by utilizing self-controlled data and applying f...
Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study.
BMC medical research methodology
Jul 14, 2025
BACKGROUND: Missing survey data can threaten the validity and generalizability of findings from longitudinal cohort studies. Respondent characteristics and survey attributes may contribute to patterns of survey non-completion, a form of missing data ...
Predicting the molecular subtypes of 2021 WHO grade 4 glioma by a multiparametric MRI-based machine learning model.
BMC cancer
Jul 14, 2025
BACKGROUND: Accurately distinguishing the different molecular subtypes of 2021 World Health Organization (WHO) grade 4 Central Nervous System (CNS) gliomas is highly relevant for prognostic stratification and personalized treatment.
A hybrid learning approach for MRI-based detection of alzheimer's disease stages using dual CNNs and ensemble classifier.
Scientific reports
Jul 14, 2025
Alzheimer's Disease (AD) and related dementias are significant global health issues characterized by progressive cognitive decline and memory loss. Computer-aided systems can help physicians in the early and accurate detection of AD, enabling timely ...
Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen.
Scientific reports
Jul 14, 2025
The challenge of assessing intracellular accumulation represents a major hurdle to the discovery of new antibiotics with Gram-negative activity. To address this, a high-throughput assay was developed to measure compound uptake and retention in Escher...
Integrated bioinformatics and machine learning reveal key genes and immune mechanisms associated with uremia.
Scientific reports
Jul 14, 2025
Uremia is a serious complication of end-stage chronic kidney disease, closely associated with immune imbalance and chronic inflammation. However, its molecular mechanisms remain largely unclear. In this study, we analyzed transcriptomic data from the...
AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models.
Scientific reports
Jul 14, 2025
The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning m...
Library-based virtual match-between-runs quantification in GlyPep-Quant improves site-specific glycan identification.
Nature communications
Jul 14, 2025
Glycosylation changes are closely related to various diseases, including cancer. The quantitative analysis of site-specific glycans at proteomics scale remains challenging due to low glycopeptide spectra interpretation. Here, we present GlyPep-Quant,...
Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity.
Nature communications
Jul 14, 2025
Innovative identification technologies for hematopoietic stem cells (HSCs) have expanded the scope of stem cell biology. Clinically, the functional quality of HSCs critically influences the safety and therapeutic efficacy of stem cell therapies. Howe...
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